Suspension (topology)

Adaptive control

Control (management)

Scheme (mathematics)

Engineering

Pure mathematics

Biology

Homotopy

Control engineering

Actuator

Stability (learning theory)

Computer science

Bounded function

Active suspension

Controller (irrigation)

Geology

Oceanography

Mathematics

Agronomy

Mathematical analysis

Uniform boundedness

Artificial intelligence

Control theory (sociology)

Machine learning

Dead zone

Feedback control

Electrical engineering

Mechanical Systems and Signal Processing

This paper proposes a novel adaptive control scheme for half-car active suspension system (HCASS) with unknown dead-zone input. Under the proposed control framework, the overall HCASS is divided into two subsystems. The proposed controller is designed based on the first subsystem, and the second subsystem is regarded as zero dynamics of HCASS. For the first subsystem, a new robust adaptive strategy is first constructed to compensate the adverse effects of unknown dead-zone input nonlinearities. Further, in order to ensure some important state variables within the given restrictive conditions all the time, a novel prescribed performance control strategy (PPC, for short) is designed. For the second subsystem, the corresponding stability analysis of zero dynamics is presented. Finally, the solution of the resulting closed-loop system is ensured to be uniformly ultimately bounded, and the effectiveness of the proposed approach is illustrated by a strict and complete simulation analysis.

Adaptive prescribed performance control of half-car active suspension system with unknown dead-zone input